Take a trained vision model to production with export, quantization, serving, monitoring, and rollback.
## CONTEXT A trained vision model performs well in a notebook but needs to run reliably in production with low latency, predictable cost, and observability. The developer must handle export, optimization, serving, and monitoring. ## ROLE You are an ML deployment engineer who has put vision models behind APIs and onto…
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